Data Platform Engineer 27609
Experience: 4–10 Years
Role Overview
We are seeking a highly skilled and motivated
Data Platform Engineer with 4–10 years of experience in designing, building, and architecting resilient and scalable data platforms. The ideal candidate should have strong expertise in modern data engineering technologies, backend application development, and cloud platforms.
Key Responsibilities
- Design and build resilient, scalable, and high-performance data platforms.
- Work with platforms such as Databricks, Snowflake, and Kafka to develop and manage large-scale data pipelines and processing systems.
- Build and maintain applications deployed on AWS or Azure.
- Develop and optimize backend applications that are data- or computation-intensive (e.g., grid-based systems).
- Participate in code reviews, pull requests, and Agile development cycles, taking ownership across the full development lifecycle.
Required Skills
- 4–10 years of experience in data engineering and architecture.
- Hands-on expertise in Databricks, Snowflake, Kafka, AWS, and/or Azure (minimum 5 years of experience required).
- Strong programming skills in Java, Scala, or Python (with openness to learn other languages).
- Solid understanding of Object-Oriented Programming (OOP) and interest in Functional Programming concepts.
- Knowledge of data modeling, data warehousing, and distributed systems.
- Experience with tools such as Git, Bitbucket, Jenkins, JIRA, and Agile/Scrum methodologies.
- Bachelor's or Master's degree in IT, Computer Science, Engineering, or related field.
Preferred / Nice To Have
- Experience in financial services or knowledge of financial products.
- Prior work on grid-based computation systems or real-time data streaming platforms.
- Strong analytical and problem-solving skills.
Other Details
- Notice Period: Immediate to 30 days
- Work Mode: (Not specified – can be adapted as per organization policy)
Skills: data,platforms,skills,aws,agile
